Exploring search task difficulty reasons in different task types and user knowledge groups

Development of a search task difficulty reason scheme.Relationship between task difficulty and task type: common and different reasons across task types.Relationship between task difficulty and user knowledge: common and different reasons among different knowledge groups.Implications for general and personalized information retrieval system design. Search task difficulty has been attracting much research attention in recent years, mostly regarding its relationship with searchers' behaviors and the prediction of task difficulty from search behaviors. However, it remains unknown what makes searchers feel the difficulty. A study consisting of 48 undergraduate students was conducted to explore this question. Each participant was given 4 search tasks that were carefully designed following a task classification scheme. Questionnaires were used to elicit participants' ratings on task difficulty and why they gave those ratings. Based on the collected difficulty reasons, a coding scheme was developed, which covered various aspects of task, user, and user-task interaction. Difficulty reasons were then categorized following this scheme. Results showed that searchers reported some common reasons leading to task difficulty in different tasks, but most of the difficulty reasons varied across tasks. In addition, task difficulty had some common reasons between searchers with low and high levels of topic knowledge, although there were also differences in top task difficulty reasons between high and low knowledge users. These findings further our understanding of search task difficulty, the relationship between task difficulty and task type, and that between task difficulty and knowledge level. The findings can also be helpful with designing tasks for information search experiments, and have implications on search system design both in general and for personalization based on task type and searchers' knowledge.

[1]  Elad Yom-Tov,et al.  What makes a query difficult? , 2006, SIGIR.

[2]  Jacek Gwizdka,et al.  Predicting task difficulty for different task types , 2010, ASIST.

[3]  Nicholas J. Belkin,et al.  A faceted approach to conceptualizing tasks in information seeking , 2008, Inf. Process. Manag..

[4]  Pertti Vakkari,et al.  Subject knowledge improves interactive query expansion assisted by a thesaurus , 2004, J. Documentation.

[5]  W. Bruce Croft,et al.  Predicting query performance , 2002, SIGIR '02.

[6]  Pertti Vakkari,et al.  Changes of search terms and tactics while writing a research proposal: A longitudinal case study , 2003, Inf. Process. Manag..

[7]  Anne Aula,et al.  How does search behavior change as search becomes more difficult? , 2010, CHI.

[8]  Elizabeth D. Liddy,et al.  The effects of expertise and feedback on search term selection and subsequent learning , 2005, J. Assoc. Inf. Sci. Technol..

[9]  Nicholas J. Belkin,et al.  Personalizing information retrieval for multi-session tasks: the roles of task stage and task type , 2010, SIGIR '10.

[10]  Barbara M. Wildemuth,et al.  The effects of domain knowledge on search tactic formulation , 2004, J. Assoc. Inf. Sci. Technol..

[11]  Jacek Gwizdka,et al.  What Can Searching Behavior Tell Us About the Difficulty of Information Tasks? A Study of Web Navigation , 2007, ASIST.

[12]  Katriina Byström,et al.  Information and information sources in tasks of varying complexity , 2002, J. Assoc. Inf. Sci. Technol..

[13]  Ryen W. White,et al.  Characterizing the influence of domain expertise on web search behavior , 2009, WSDM '09.

[14]  Kalervo Järvelin,et al.  Task complexity affects information seeking and use , 1995 .

[15]  Nicholas J. Belkin,et al.  Understanding searchers' perception of task difficulty: Relationships with task type , 2011, ASIST.

[16]  Jaime Arguello Predicting Search Task Difficulty , 2014, ECIR.

[17]  Stephen J. Payne,et al.  Knowledge in the head and on the web: using topic expertise to aid search , 2008, CHI.

[18]  Elizabeth D. Liddy,et al.  The effects of expertise and feedback on search term selection and subsequent learning: Research Articles , 2005 .

[19]  Nicholas J. Belkin,et al.  Exploring and predicting search task difficulty , 2012, CIKM '12.

[20]  Liwen Qiu,et al.  Analytical Searching vs. Browsing in Hypertext Information Retrieval Systems. , 1993 .

[21]  Jeonghyun Kim,et al.  Task difficulty as a predictor and indicator of web searching interaction , 2006, CHI Extended Abstracts.

[22]  Gary Marchionini Information-seeking strategies of novices using a full-text electronic encyclopedia , 1989 .

[23]  Jacek Gwizdka,et al.  Search behaviors in different task types , 2010, JCDL '10.

[24]  Nicholas J. Belkin,et al.  Personalization of search results using interaction behaviors in search sessions , 2012, SIGIR '12.

[25]  Pertti Vakkari,et al.  Task complexity, problem structure and information actions - Integrating studies on information seeking and retrieval , 1999, Inf. Process. Manag..

[26]  Ingrid Hsieh-Yee,et al.  Effects of Search Experience and Subject Knowledge on the Search Tactics of Novice and Experienced Searchers. , 1993 .

[27]  Xiaojun Yuan,et al.  Domain knowledge, search behaviour, and search effectiveness of engineering and science students: an exploratory study , 2005, Inf. Res..

[28]  Diane Kelly,et al.  The effects of topic familiarity on information search behavior , 2002, JCDL '02.

[29]  Michael J. Cole,et al.  Task Topic Knowledge vs. Background Domain Knowledge: Impact of Two Types of Knowledge on User Search Performance , 2013, WorldCIST.

[30]  Bryce Allen,et al.  Topic Knowledge and Online Catalog Search Formulation , 1991, The Library Quarterly.

[31]  Jingjing Liu,et al.  Why Do Users Perceive Search Tasks As Difficult? Exploring Difficulty in Different Task Types , 2013, HCIR '13.

[32]  Yuelin Li,et al.  Relationships among work tasks, search tasks, and interactive information searching behavior , 2008 .

[33]  Carolyn Watters,et al.  A field study characterizing Web-based information-seeking tasks , 2007 .